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Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition
Weidong Chen, Xiaofen Xing, Peihao Chen +1
This paper presents a paradigm that adapts general large-scale pretrained models (PTMs) to speech emotion recognition task. Although PTMs shed new light on artificial general intel…
DWFormer: Dynamic Window transFormer for Speech Emotion Recognition
Shuaiqi Chen, Xiaofen Xing, Weibin Zhang +2
Speech emotion recognition is crucial to human-computer interaction. The temporal regions that represent different emotions scatter in different parts of the speech locally. Moreov…
DST: Deformable Speech Transformer for Emotion Recognition
Weidong Chen, Xiaofen Xing, Xiangmin Xu +2
Enabled by multi-head self-attention, Transformer has exhibited remarkable results in speech emotion recognition (SER). Compared to the original full attention mechanism, window-ba…
SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech
Weidong Chen, Xiaofen Xing, Xiangmin Xu +2
Transformer has obtained promising results on cognitive speech signal processing field, which is of interest in various applications ranging from emotion to neurocognitive disorder…
Key-Sparse Transformer for Multimodal Speech Emotion Recognition
Weidong Chen, Xiaofeng Xing, Xiangmin Xu +2
Speech emotion recognition is a challenging research topic that plays a critical role in human-computer interaction. Multimodal inputs further improve the performance as more emoti…
LSSED: a large-scale dataset and benchmark for speech emotion recognition
Weiquan Fan, Xiangmin Xu, Xiaofen Xing +2
Speech emotion recognition is a vital contributor to the next generation of human-computer interaction (HCI). However, current existing small-scale databases have limited the devel…